Syllable-Based Chinese Text/Spoken Document Retrieval Using Text/Speech Queries

In order to solve the problem with the fast growth of Chinese information resources on the Internet, this paper deals with the problem of Chinese text and spoken document retrieval using both text and speech queries. By properly utilizing the monosyllabic structure of Chinese language, the proposed approach performs the statistical similarity estimation between the text/speech queries and the text/spoken documents directly at the phonetic level using syllable-based statistical information. Extensive experiments were performed and the preliminary results are very encouraging. 1. Introduction The network technology and the Internet are creating a completely new information era. It is believed that in the near future, numerous of digital libraries and a great variety of multimedia databases will be available worldwide via the Internet. The digital libraries and multimedia databases will consist of heterogeneous types of information including text, audio, image, video and so on. Intellig..